Facebook Fake News Classifier! (Currently experiencing 95% testing accuracy using k-fold cross validation)
### Summary Candidate solution for Facebook's [fake news problem](http://www.newyorker.com/news/news-desk/solving-the-problem-of-fake-news) using machine learning and crowd-sourcing. Takes form of a Chrome extension. Developed in under 24 hours at 2017 [Crimson Code](http://hackathon.eecs.wsu.edu/) hackathon at Washington State University.
Some notes:
- Python secure server (with classifier and training data) lies in ./server
- Chrome extension lies in ./client
- Server, along with training data, is currently stored locally. Plans are to host these on external server soon.
- Chrome extension is not yet available on Chrome App Store - this is in the works!
Here's an example classification of fake news, as would appear in your Facebook feed:
### Contributions This was a great and challenging project, and we plan on taking this further. Of course, this couldn't have been completed without the rest of team _SlickBits_: * **Shyam** ([@gopshyam](https://github.com/gopshyam)) * **Anand** ([@Andyrocks143](https://github.com/Andyrocks143)) * **Giridhar** ([@mgiridhar](https://github.com/mgiridhar)).
These guys have talent and persistence.
This work is under a Non-commercial Creative Commons license under the group SlickBits. If you use any part of this code, please add attribution to our team.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent